Meta-Analysis: Methods for Health and Experimental Studies

Khan, Shahjahan ORCID: (2020) Meta-Analysis: Methods for Health and Experimental Studies. Statistics for Biology and Health. Springer Nature, Singapore. ISBN 9789811550317


This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided.

All popularly used meta-analytic methods and models – such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model – are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias.

The main attraction for readers is the book’s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.

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Item Type: Book (Commonwealth Reporting Category A)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions - Centre for Health Research (1 Apr 2020 -)
Date Deposited: 10 Nov 2020 05:28
Last Modified: 04 Jan 2021 00:48
Uncontrolled Keywords: Meta-Analysis; MetaXL; Statistical Meta-Analysis; Medical Meta-Analysis; Effect Size Measures; Systematic Review; Evidence-Based Decision-Making; Confidence Interval; Pooling of Effects; P-value; Publication Bias; Heterogeneous Effect Sizes; Randomized Control Trials; Fixed Effect Model; Random Effects Model; Inverse Variance Weighting; Inverse Variance Heterogeneity Model; Quality Effect Model
Fields of Research (2008): 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
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